Bartali Valentina, van Velsen Lex
Roessingh Research and Development and University of Twente, Roessinghsbleekweg 33b, 7522 AH Enschede, the Netherlands.
Internet Interv. 2023 Jul 1;33:100642. doi: 10.1016/j.invent.2023.100642. eCollection 2023 Sep.
With eHealth technology interventions, users' personal health data can be easily shared among different stakeholders. Users should decide with whom they want to share their data. As support, most eHealth technology has data sharing options functionalities. However, there is little research on how to design these visually. In this paper, we took two possible data sharing options designs - data and party perspective - for an existing eHealth technology intervention, and we explored them.
The aim was to find which of the two designs is the best in terms of trust, privacy concerns, ease of use, and information control. Additionally, to investigate how these factors influence each other with also the goal of giving practical advice on designing for privacy.
We conducted a between-subjects online design experiment ( = 123). After having visualised one of the two data sharing options designs, participants filled in an online questionnaire. To analyse the data, -test analyses, correlation analyses, and backward regression analyses were conducted.
Information control scored higher in the data perspective condition ( (97) = 2.25, = .03). From the different regression analyses, we found that trust and ease of use play a role in all sharing-related factors.
We concluded that the design of data-sharing options in eHealth technology affects the experience of the user, mostly for trust and ease of use. In the end, we provided several actionable design advices on how to design for privacy.
通过电子健康技术干预,用户的个人健康数据可以在不同利益相关者之间轻松共享。用户应决定与谁共享他们的数据。作为支持,大多数电子健康技术都具有数据共享选项功能。然而,关于如何在视觉上设计这些功能的研究很少。在本文中,我们针对现有的电子健康技术干预措施采用了两种可能的数据共享选项设计——数据视角和参与方视角,并对它们进行了探索。
旨在找出两种设计中在信任、隐私担忧、易用性和信息控制方面哪一种最佳。此外,调查这些因素如何相互影响,同时也旨在为隐私设计提供实用建议。
我们进行了一项被试间在线设计实验(n = 123)。在将两种数据共享选项设计之一可视化后,参与者填写了一份在线问卷。为了分析数据,进行了t检验分析、相关性分析和向后回归分析。
在数据视角条件下,信息控制得分更高(t(97) = 2.25,p = .03)。从不同的回归分析中,我们发现信任和易用性在所有与共享相关的因素中都起作用。
我们得出结论,电子健康技术中数据共享选项的设计会影响用户体验,主要体现在信任和易用性方面。最后,我们提供了一些关于如何进行隐私设计的可操作设计建议。